laurigates/finops-compare

/finops:compare

Compare GitHub Actions FinOps metrics across multiple repositories - cache usage, workflow frequency, failure rates, and efficiency.

When to Use This Skill

| Use this skill when... | Use a sibling instead when... | |---|---| | You need to benchmark CI metrics across many repos in an org | You only need a snapshot of the current repo — use /finops:overview | | You want to identify the worst-performing repos in an org | You need a deep dive on one repo's caches — use /finops:caches | | You are running an org-wide cache or failure audit | You need per-workflow analysis on one repo — use /finops:workflows | | You want to rank repos by efficiency or cache size | You want actionable workflow waste fixes — use /finops:waste |

Parameters

| Parameter | Description | Default | |-----------|-------------|---------| | org | GitHub organization name (required) | - | | repos... | Space-separated list of repo names | All org repos | | --limit N | Limit auto-discovery to N repos | 30 |

Usage Examples

# Compare specific repos
/finops:compare myorg repo1 repo2 repo3

# Compare all repos in org (up to 30)
/finops:compare myorg

# Compare more repos
/finops:compare myorg --limit 50

Execution

bash "${SKILL_DIR}/scripts/compare-repos.sh" $ARGS

Output Format

=== FinOps Comparison: myorg ===

Discovering repos (limit: 30)...
Found 25 repos

=== Cache Usage ===
Repository                               Caches    Size (MB)
----------                               ------    ---------
frontend-app                                 45         2340
backend-api                                  32         1850
shared-libs                                  18          420
...

=== Workflow Activity (last 30 days) ===
Repository                                 Runs  Success   Failed  Skip Rate
----------                                 ----  -------   ------  ---------
frontend-app                                156      140       10         3%
backend-api                                  89       85        2         2%
...

=== Failure Rates (top 15) ===
Repository                                Total   Failed       Rate
----------                                -----   ------       ----
legacy-service                               45       12        26%
experimental-repo                            20        5        25%
...

=== Active Workflows ===
Repository                               Workflows
----------                               ---------
frontend-app                                     8
backend-api                                      5
...

=== Summary ===
Total cache usage: 8450MB across 25 repos

Repos exceeding 1GB cache:
  frontend-app: 2340MB
  backend-api: 1850MB

Repos with >20% failure rate:
  legacy-service: 26%
  experimental-repo: 25%

Agentic Optimizations

| Context | Command | |---------|---------| | List org repos (JSON) | gh api "/orgs/{org}/repos?per_page=100&sort=pushed" --jq '.[].full_name' | | Cache count per repo | gh api "/repos/{owner}/{repo}/actions/caches" --jq '.total_count' | | Workflow runs (JSON) | gh api "/repos/{owner}/{repo}/actions/runs?per_page=100" --jq '.workflow_runs' | | Compact multi-repo compare | bash "${SKILL_DIR}/scripts/compare-repos.sh" $ARGS |

Post-actions

Based on comparison results:

• High cache repos: Run /finops:caches <repo> for detailed analysis
• High failure repos: Run /finops:workflows <repo> to investigate
• High activity repos: Run /finops:waste <repo> to find optimizations
• Create report: Consider creating a GitHub issue with findings